Handles creating, reading and updating teams.

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            "name": "EvryRNA",
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            "description": "EvryRNA platform is a web server providing various algorithms and bioinformatics tools developed in the laboratory IBISC of UEVE/Genopole, and dedicated to the prediction and the analysis of non-coding RNAs (ncRNAs). These RNAs are regulators of gene expression control and genome stability. They are involved in different biological processes, and some of them, including microRNAs, are known to be involved in many diseases such as cancer and neurodegenerative diseases. Their study provides insight into how living organisms function, including differentiation and cell proliferation, but also to consider new therapeutic approaches for genetic diseases and cancer.",
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            "name": "MBI-DS4H",
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            "description": "La plateforme MBI signifie \"Modélisation des biomolécules et de leurs interactions\". Il s'agit essentiellement d'une plateforme de recherche offrant des services dans le cadre de projets scientifiques collaboratifs. Les principales activités de la plateforme concernent la modélisation 3D de protéines en interaction avec des ligands, des protéines, de l'ARN ou de l'ADN ss, ainsi que l'annotation fonctionnelle de biomolécules. Les programmes disponibles comprennent la simulation dynamique moléculaire (logiciel NAMD), l'arrimage rigide très rapide et les programmes de comparaison de formes, qui sont exécutés sur des grappes hybrides de CPU et de GPU. L'expertise en science des données, y compris l'exploration de données symboliques, l'apprentissage machine, l'analyse de graphes complexes, est également disponible pour la bio-informatique et les applications biomédicales.",
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            "homepage": "http://mbi.loria.fr/",
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            "address": "615 Rue du Jardin Botanique\r\n54600 Villers-lès-Nancy\r\nFrance",
            "city": "Villers-lès-Nancy",
            "country": "France",
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                    "name": "Inria Nancy - Grand-Est research centre",
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            "name": "PRABI-Lyon-Gerland",
            "logo_url": null,
            "description": "Le PRABI-Gerland https://prabi.ibcp.fr localisé à l'IBCP développe les bases de données dans le domaine infectieux, les méthodes de prédiction et d'optimisation des structures 3D de protéines ainsi que les outils et services s'y rapportant. Dans le domaine des services la spécificité de la PF est la bioinformatique structurale (Modélisation moléculaire, prédiction de structure) introduite sur Lyon dès 1986 (il y a 25 ans avant même que le mot n'existe...). Dans ce domaine, l’activité proposée par le PRABI-Gerland s’appuie sur les expertises suivantes:\r\n Prédiction de structure de protéines [G. Deléage]\r\n Modélisation moléculaire [E. Bettler, G. Deléage, R. Terreux]\r\n Intégration de méthodes et serveurs Web [C. Combet, G Deléage]\r\n Serveur Web 3D [E. Bettler, G. Deléage]\r\n Drug design et QSAR (R. Terreux, J.A. Chemelle)\r\n \r\nMots clefs: Bioinformatique structurale, Prédiction de structure, Base de données structurales, Analyse de séquences, Modélisation moléculaire, docking moléculaire.\r\n \r\nPrincipaux sites web: https://prabi.ibcp.fr (site en cours de refonte)\r\n https://geno3d-prabi.ibcp.fr/\r\n https://npsa-prabi.ibcp.fr/\r\n http://sumo-pbil.ibcp.fr\r\n http://espript.ibcp.fr\r\n http://endscript.ibcp.fr\r\nMéthodes de prédiction des structures secondaires de protéines.\r\nPlusieurs méthodes originales ont été développées, Self Optimized Prediction Method (SOPM), génère automatiquement à partir de cette base de donnée, une \"sous-base\" rassemblant les 60 à 80 protéines les plus homologues ou appartenant à la même classe structurale que la protéine\r\nétudiée. En effet, des protéines homologues ont généralement une structure assez proche (30% d'identité indique une architecture semblable). Après une phase d'apprentissage automatique sur cette \"sous-base\", en particulier d'optimisation des paramètres, la prédiction de la structure de la protéine est réalisée. La version SOPMA tire bénéfice des alignements multiples. La méthode MLRC combine les réseaux de neurones avec la méthode SOPMA.\r\n [SOPMA] Self optimised Prediction Method (1995)\r\n [SOPM] Self optimised Prediction Method (1994)\r\n [DPM] Double prediction Method (1987)\r\n [MLRC] Multivariate Linear Regression Combination (1999)\r\n [AMPHIPASEEK] Prediction of membrane anchor helical peptides (2006)\r\n \r\nIntégration de methodes- WebicielsServeur NPS@\r\nLe PRABI Gerland a développé le premier serveur de mail Français pour la prédiction de structures secondaires de protéines (80 000 prédictions en tout). Ensuite ces méthodes ont été intégrées dans [NPS@ 2000]. Le serveur est actuellement dans sa version 3. Dans le cadre de RENABI-IFB, ce serveur généraliste de séquences couplé aux prédictions de structures sera mis à jour en termes d’ergonomie, d’interface et de conception. Mise à disposition d’outils et de services en ligne correspondant aux domaines d’expertise du laboratoire d’accueil de la PF.\r\n \r\nServeur Web ESPript/ENDscript\r\nA partir d’une protéine de structure connue (code ou fichier PDB), le serveur ENDscript produit, en quelques secondes et de manière automatisée, plusieurs illustrations téléchargeables dans des formats usuels (PostScript, PDF, PNG et TIFF) :\r\n1/ Une première figure, générée par le logiciel ESPript, présente la séquence de la protéine d’intérêt agrémentée de ses éléments de structure secondaire, de l’accessibilité au solvant et de l’hydropathie par résidu. Si disponibles, sont aussi représentés les contacts cristallographiques et non-cristallographiques protéine/protéine et/ou protéine/ligand ainsi que les résidus impliqués dans des ponts disulfures.\r\n2/ Une seconde figure ESPript montre, en plus des informations précédentes, un alignement multiple de séquences des protéines homologues coloré en fonction de la conservation des résidus et agrémenté des éléments de structure secondaire de ces dernières si leurs structures sont connues. \r\n3/ Deux représentations 3D interactives visualisables par le logiciel PyMOL : a) une représentation en ruban, colorée en fonction de la conservation de séquence. b) une représentation en tube dont le diamètre est proportionnel à la déviation structurale (rmsd) entre la protéine d’intérêt et les protéines homologues de structure connue. De plus, si disponible, peuvent être affichés : l’assemblage de l’unité biologique, les modèles RMN multiples, les ligands et les résidus en contact avec ces derniers.\r\nLe serveur ESPript permet, en complément d’ENDscript ou de manière autonome, de représenter des alignements multiples de séquences avec la possibilité d’ajouter des marqueurs définis par l’utilisateur de manière à produire des figures facilitant l’analyse ou dédiées aux communications scientifiques.\r\n \r\nModélisation moléculaire\r\nUn serveur Web de modélisation moléculaire automatique de structure 3D de protéines appelé geno3D est disponible depsuis 2002 qui permet aux biologistes et biochimistes d'obtenir un modèle 3D de qualité si la séquence \"query\" présente plus de 35% d'identité avec une protéine de structure 3D connue. Le principe de cette modélisation consiste à appliquer les techniques de modélisation sous contraintes à la protéine à modéliser (de type RMN) à partir d'un jeu de contraintes calculées sur l'empreinte structurale. Plusieurs empreintes sont utilisables, le ligand (si présent) est replacé dans les modèles, 10 modèles sont générés. Les résultats sont proposés sous la forme d’une archive récupérable et les résultats sont conservés 8 jours sur le serveur. Ce serveur génère 100 modèles/mois. Un système intégré de modélisation moléculaire (MAGOS ) à grande échelle de protéomes entiers a été utilisé pour des protéomes de virus (modeome3D) et de plantes (arabidome3D).\r\n \r\nDocking et sites 3D- chemo-informatique\r\nUne méthode bioinformatique SUMO a été développée permettant de détecter des sites 3D fonctionnels communs à plusieurs protéines. L’approche a fait l’objet d’un brevet déposé par le CNRS et d'un serveur Web pour rendre utilisable la méthode par la communauté académique.\r\nDans un travail récent, nous avons réévalué les paramètres et avons montré que la qualité de comparaison était améliorée tout comme la rapidité du calcul. Cette méthode a été appliquée pour établir une classification des antibiotiques à noyau ß lactame.",
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            "logo_url": null,
            "description": "Cette structure a été créée à l'initiative de l'INCa dans le cadre de sa participation à l'\"International  Cancer Genome Consortium\" (ICGC).\r\n \r\nElle a trois missions :\r\n1 collecter ou préparer puis valider les acides nucléiques (ADN normal, ADN tumoral, ARN tumoral,...)  qui   seront   examinés   avec   les   techniques   de  la  génomique:   puce   de  génotypage,   puce d'expression, RNA-­seq, DNA-­‐eq en génomes complets et en éxomes),\r\n2 assurer la liaison avec les centres de génomique (académiques  ou privés) réalisant le séquençage haut-­‐débit,\r\n3 effectuer l'analyse des données de séquence transmises par ces centres de manière à en extraire l'information  (variants  somatiques  et  structuraux,  nombre  de  copie,  niveaux  d'expression  en RNA-­‐seq) utile aux équipes biomédicales.\r\n \r\nPour  remplir  sa  mission,  la  plateforme  a  développé  une  application  Internet  permettant  d'assurer  la gestion  de grands  projets  multicentriques  en toute  transparence  pour  les collaborateurs.  Elle  a mis en place  des  procédures  de  contrôle  qualité  des  échantillons  à  analyser.  Elle  dessine  et  automatise  des pipelines d'analyse pour les données de génomique qu'elle reçoit.",
            "expertise": [],
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            "homepage": "http://www.synergielyoncancer.fr/",
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            "address": "28 rue Laënnec\r\nFondation Synergie Lyon Cancer, Bât. Cheney D\r\n69008 Lyon\r\nFrance",
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            "id": 19,
            "name": "PRABI-AMSB",
            "logo_url": "https://amsb.prabi.fr/amsb-logo.png",
            "description": "The PRABI-AMSB  (Systems Biology Analysis and Modelling) is a Core facility specializing in bioinformatics, located on the Lyon Tech La Doua campus in Villeurbanne. Our platform is part of the IBISA-certified regional network of PRABI and, at the national level, is a member of the French Institute of Bioinformatics and a partner of the France Génomique infrastructure.",
            "expertise": [
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                "http://edamontology.org/topic_2259",
                "http://edamontology.org/topic_3071"
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            "expertise_description": "Next Generation Sequence data analysis (Metagenomics, Metatranscriptomics, RNA-Seq, Genome assembly and Annotation)\r\nCloud Computing\r\nTraining",
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            "unitId": "201119591B",
            "address": "16 rue Raphael Dubois\r\nBatiment Mendel (2ème étage)",
            "city": "Villeurbanne Cedex",
            "country": "France",
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                    "name": "University Lyon 1",
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            "description": "La plateforme de Bioinformatique \"Gilles Thomas\", située au Centre Léon Bérard (CLB), a été initiée en 2009 par le Pr. Gilles Thomas pour favoriser l'exploitation de quantités massives de données de séquençage en génomique du cancer. L'équipe est composée de 11 bioinformaticiens et biostatisticiens travaillant sous la direction scientifique d'Alain Viari (Inria). Elle fournit une expertise multidisciplinaire, de la gestion des données à l'interprétation biologique, pour soutenir un large spectre de collaborations allant de la recherche fondamentale aux projets translationnels et aux activités de diagnostic clinique.",
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            "linkCovid19": "",
            "homepage": "https://www.crcl.fr/les-plateformes/plateforme-de-bioinformatique-gilles-thomas/",
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            "address": "28 Rue Laennec",
            "city": "Lyon",
            "country": "France",
            "communities": [],
            "projects": [],
            "affiliatedWith": [],
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        },
        {
            "id": 1,
            "name": "EBIO",
            "logo_url": null,
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            "expertise_description": "",
            "linkCovid19": "",
            "homepage": "http://ebio.u-psud.fr/",
            "unitId": "",
            "address": "15 rue George Clémenceau\r\n91000 Orsay\r\nFrance",
            "city": "Orsay",
            "country": "France",
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            ],
            "keywords": [],
            "fields": [
                "Biologie",
                "Biomédical",
                "Agro-alimentaire",
                "Environnement"
            ],
            "orgid": null,
            "tools": [
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                "erpin",
                "synttax"
            ],
            "services": [],
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            "maintainers": [],
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            "is_active": false,
            "closing_date": "2023-03-15",
            "lat": "48.698931",
            "lng": "2.177998",
            "updated_at": "2025-10-21T13:07:13.141581Z"
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}